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Computational music remixing with EarSketch (abstract only)

Published: 05 March 2014 Publication History

Abstract

Our work has focused on how to create a learning experience that is highly personally motivating for students, has a low barrier of entry for creation an artistic computational artifact, and is scalable for use in formal and informal education settings at the national level. We have created a learning environment called EarSketch that addresses student engagement through a STEAM learning experience that provides authentic learning in both the technical (i.e. computing) and artistic domains (i.e. music remixing). EarSketch is an integrated curriculum, software toolset, audio loop library, and social sharing site that teaches computing principles through digital music composition and remixing. Attendees will use Python to place audio clips, create rhythms, and add and control effects to a multi-track digital audio workstation (DAW) while learning computing concepts such as variables, iteration, conditionals, strings, lists, and functions. Participants write code to make music, with a focus on popular genres such as hip hop. The agenda outlines the pedagogy of connecting musical expression to computation. EarSketch has been used in introductory computing summer camps, secondary school classes, and is currently working towards integration with CS Principles pilot programs. All participants will need a laptop for running the EarSketch software. EarSketch will run on OSX and Windows laptops. Participants will also need headphones for listening to projects created using EarSketch. It is highly suggested that participants download the EarSketch installer at http://earsketch.gatech.edu/downloads and install the software prior to the workshop.

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  • (2016)EarSketchACM Transactions on Computing Education10.1145/288641816:4(1-25)Online publication date: 29-Sep-2016

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Published In

cover image ACM Conferences
SIGCSE '14: Proceedings of the 45th ACM technical symposium on Computer science education
March 2014
800 pages
ISBN:9781450326056
DOI:10.1145/2538862
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 March 2014

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Author Tags

  1. CS principles
  2. K-12 education
  3. computer music
  4. media computation
  5. music remixing
  6. python

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  • Technical-note

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SIGCSE '14
Sponsor:

Acceptance Rates

SIGCSE '14 Paper Acceptance Rate 108 of 274 submissions, 39%;
Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

Upcoming Conference

SIGCSE TS 2025
The 56th ACM Technical Symposium on Computer Science Education
February 26 - March 1, 2025
Pittsburgh , PA , USA

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Cited By

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  • (2016)EarSketchACM Transactions on Computing Education10.1145/288641816:4(1-25)Online publication date: 29-Sep-2016

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